Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.

This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.

What You’ll Do

     • Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment

     • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches

     • Design and run experiments using the latest ML tools and frameworks

     • Develop automation tools to streamline research and system development

     • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior

     • Partner with engineering teams to implement and test models in production environments

We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.

     • PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field

     • Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems

     • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR

     • Strong programming skills in Python and/or C++

     • Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments

     • Hands-on experience applying deep learning on time series data

     • Strong foundation in mathematics, statistics, and algorithm design

     • Excellent problem-solving skills with a creative, research-driven mindset

     • Demonstrated ability to work collaboratively in team-oriented environments

     • A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?

     • Collaborate with a world-class team of researchers, engineers, and traders

     • Gain access to best-in-class financial data and high-performance computing resources

     • Directly impact real-time trading performance through your work

     • Thrive in a collaborative, intellectually rigorous environment with a global footprint

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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